Ying Xiao

3.5k citations
41 papers · 451 · h-index 11

Impact in

    • Music and Audio Processing
    • Speech and Audio Processing
    • Speech Recognition and Synthesis
    • Natural Language Processing Techniques
    • Topic Modeling

Papers in

Ying Xiao

34 papers receiving 425 citations

Peers

Ying Xiao
Comparison fields: 5 of 91
  • Signal Processing 95
  • Artificial Intelligence 190
  • Computer Vision and Pattern Recognition 97
  • Media Technology 34
  • Cancer Research 36
Replace Leilei Huang with:
Leilei Huang China
Anindya Sarkar United States
Xu-Ran Zhao China
Khalid Masood Pakistan
Sanghoon Lee United States
Xianling Hu China
Yipei Wang United States
Dayong Ding China
Benjamin Ulfenborg Sweden
Ying Xiao relative to Leilei Huang China Leilei Huang's profile →
Citations per field
00.5×11.3×
Leilei Huang · 1×
Citations per year

Countries citing papers authored by Ying Xiao

Since Specialization
Citations

This map shows the geographic impact of Ying Xiao's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Ying Xiao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ying Xiao more than expected).

Fields of papers citing papers by Ying Xiao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ying Xiao. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Ying Xiao. The network helps show where Ying Xiao may publish in the future.

Co-authors

The 25 scholars most cited alongside Ying Xiao, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Ying Xiao Line = papers co-authored together Ying Xiao links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 41 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Tacotron: A Fully End-to-End Text-To-Speech Synthesis Model.
201786
2 201973
3
Style Tokens: Unsupervised Style Modeling, Control and Transfer in End-to-End Speech Synthesis
201862
4 202348
5 201623
6 202019
7 202014
8 202314
9 202011
10 202310
11 201910
12 20209
13 20249
14 20218
15 20198
16 20236
17 20225
18 20244
19 20224
20 19984

About Ying Xiao

Ying Xiao is a scholar working on Oncology, Molecular Biology, Artificial Intelligence, Pulmonary and Respiratory Medicine and Computer Vision and Pattern Recognition, having authored 41 papers that have together received 451 indexed citations. Recurring topics across this work include Cholangiocarcinoma and Gallbladder Cancer Studies (4 papers), Hepatocellular Carcinoma Treatment and Prognosis (3 papers), Image and Signal Denoising Methods (3 papers), Sirtuins and Resveratrol in Medicine (2 papers), Tracheal and airway disorders (2 papers), Cell death mechanisms and regulation (2 papers), Gallbladder and Bile Duct Disorders (2 papers) and Advanced Image Fusion Techniques (2 papers). The work is most often cited by research in Signal Processing (95 citations), Artificial Intelligence (190 citations), Computer Vision and Pattern Recognition (97 citations), Media Technology (34 citations) and Cancer Research (36 citations). Ying Xiao has collaborated with scholars based in China, United States and Malaysia. Frequent co-authors include Yasuhisa Fujii, Siyang Qin, Yuxuan Wang, Daisy Stanton, Rif A. Saurous, RJ Skerry-Ryan, Deyan Wang, Qionghai Dai, Zongheng Yang and Zhifeng Chen. Their work appears in journals such as International Journal of Surgery, Nutrients, Diagnostic Pathology, ZooKeys and Cancer Gene Therapy.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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